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Strokes detection for skeletonisation of characters shapes
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems. Linköping University, The Institute of Technology. (KPLAB)ORCID iD: 0000-0003-3011-1505
2014 (English)In: Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II / [ed] George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang, Steven M. Drucker, Chandra Kambhamettu, Maha El Choubassi, Zhigang Deng, Mark Carlson, Springer, 2014, 510-520 p.Conference paper (Refereed)
Abstract [en]

Skeletonisation is a key process in character recognition in natural images. Under the assumption that a character is made of a stroke of uniform colour, with small variation in thickness, the process of recognising characters can be decomposed in the three steps. First the image is segmented, then each segment is transformed into a set of connected strokes (skeletonisation), which are then abstracted in a descriptor that can be used to recognise the character. The main issue with skeletonisation is the sensitivity with noise, and especially, the presence of holes in the masks. In this article, a new method for the extraction of strokes is presented, which address the problem of holes in the mask and does not use any parameters.

Place, publisher, year, edition, pages
Springer, 2014. 510-520 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 8888
Keyword [en]
Texts recognition
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-112542DOI: 10.1007/978-3-319-14364-4_49ISI: 000354700300049ISBN: 978-3-319-14364-4ISBN: 978-3-319-14363-7OAI: diva2:767316
ISVC 2014
Swedish Research CouncilLinnaeus research environment CADICSeLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish Foundation for Strategic Research
Available from: 2014-12-01 Created: 2014-12-01 Last updated: 2015-12-10Bibliographically approved

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